IRRADIANCE STATISTICS OF AN OPTICAL WAVE IN A TURBULENT MEDIUM,

Abstract

The probability distribution for the intensity fluctuations of an optical wave has received considerable attention in the recent literature. Tatarski has claimed the distribution in I in the far field (where geometric optics is not applicable) to be log-normal (i.e., lnI is normal) by applying the central limit theorem to the first order Rytov solution. It has recently been shown that it is necessary to retain the second order Rytov term in order to compute the standard deviation of the intensity fluctuations correct to first order in n1. Hence, Tatarski's derivation of a log-normal distribution function for propagation paths dominated by single scattering cannot be valid. In fact, it can easily be seen that the only first order function (proportional to n1, the index of refraction fluctuations), which gives the correct mean and standard deviation for the intensity, is a linear one. Hence, the correct first order statistics are given only by the first order Born approximation, and application of the central limit theorem then yields a normally distributed intensity distribution. This result should be valid for propagation paths small compared to the single scattering length, Lc, but the experimental evidence supports a log-normal rather than a normal distribution. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 27, 1969
Accession Number
AD0684120

Entities

People

  • H. T. Yura
  • R. F. Lutomirski

Organizations

  • RAND Corporation

Tags

DTIC Thesaurus Topics

  • Born Approximations
  • Data Science
  • Distribution Functions
  • Far Field
  • Information Science
  • Intensity
  • Normal Distribution
  • Order Statistics
  • Probability
  • Probability Distributions
  • Refraction
  • Refractive Index
  • Scattering
  • Standards
  • Statistics

Fields of Study

  • Physics

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Calculus or Mathematical Analysis
  • Regression Analysis.